{"id":"W2017465745","doi":"10.3390/s120303512","title":"Inertial Sensing to Determine Movement Disorder Motion Present before and after Treatment","year":2012,"lang":"en","type":"article","venue":"Sensors","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Calgary","keywords":"Inertial frame of reference; Motion (physics); Movement (music); Inertial measurement unit; Motion sensors; Computer science; Artificial intelligence; Physical medicine and rehabilitation; Medicine; Acoustics; Physics; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004607339,0.0003345464,0.0004806895,0.001204975,0.0001686133,0.0005120929,0.0001756114,0.0004600401,0.003257961],"category_scores_gemma":[0.001919778,0.0001224731,0.000307702,0.0008562886,0.0002149074,0.0003713263,0.0003100274,0.0003746299,0.00071432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002266772,"about_ca_system_score_gemma":0.0002035533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909753,"about_ca_topic_score_gemma":0.002601332,"domain_scores_codex":[0.999522,0.00009224682,0.00005337334,0.00007764227,0.0002081582,0.00004655244],"domain_scores_gemma":[0.9993702,0.0001758464,0.0001911943,0.00004120342,0.0001826476,0.00003900064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004418886,0.0004578919,0.2544877,0.001233086,0.0004561598,0.0008027353,0.001487005,0.003200092,0.2390385,0.001799303,0.006532702,0.4860859],"study_design_scores_gemma":[0.0001195068,0.003108819,0.9345605,0.0001959021,0.0003247277,0.001216831,0.001291202,0.009427278,0.03334091,0.0009033324,0.0154037,0.0001073099],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9014603,0.01485373,0.04554283,0.000907934,0.0005482464,0.0005000998,0.00382393,0.0006164823,0.03174631],"genre_scores_gemma":[0.9789874,0.003328893,0.01145338,0.0003518215,0.0002373959,0.0002170785,0.001216459,0.00004756206,0.004160118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003257961,"threshold_uncertainty_score":0.01089895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007299081680530463,"score_gpt":0.2160701713973323,"score_spread":0.2087710897168018,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}